Before touching any code or servers, a DevOps engineer spends the first days learning the landscape. This section lists the exact steps and why each is important.
- Meet the team & understand goals
Talk to developers, QA, and product to learn the release cadence, pain points, and SLAs (uptime, performance targets).
- Inventory the infrastructure
Collect information: cloud provider (AWS/Azure/GCP), regions, VPCs, accounts, CI tools, Kubernetes clusters, and repositories.
- Access & security review
Identify who has access to what (SSH keys, IAM roles, service accounts). Make a plan to remove unsafe access (password SSH, shared accounts).
- Monitoring & logging check
Confirm what is monitored (alerts, dashboards) and where logs are stored (CloudWatch, ELK). Missing monitoring is a high-priority gap.
- Run a small reproducible test
Deploy a tiny test app or run an existing CI job to verify the end-to-end flow. This finds gaps fast.
Their focus is platform reliability, automation, and developer productivity. Think of them as "builders of the factory" (the delivery pipeline) rather than the "product" workers.
- They design automated build and deploy pipelines.
- They provision and maintain infrastructure (servers, networks, cloud resources).
- They implement monitoring, alerting, and incident response.
Each workflow below includes tools, commands, and the goal.
1) Provision infrastructure (IaC)
Goal: Create or update cloud resources reproducibly.
- Write Terraform files describing VPC, subnets, EC2/EKS, IAM.
- Run
terraform initto initialize providers. - Run
terraform planto preview changes. - Run
terraform applyto apply changes (after review).
Tools: Terraform, cloud consoles (AWS/Azure/GCP).
2) Configure servers (config management)
Goal: Ensure servers are configured consistently.
- Write Ansible playbooks that install packages, create users, deploy configuration files.
- Test locally or on staging nodes:
ansible-playbook -i inventory site.yml. - Roll out to production carefully (canary hosts first).
Tools: Ansible, sometimes Chef/Puppet.
3) Create CI/CD pipelines
Goal: Automate build, test, and deploy so developers can ship safely and fast.
- Create pipeline definitions: Jenkinsfile, .github/workflows/*.yml, or GitLab CI YAML.
- Integrate with source control and triggers (push, PR, schedule).
- Ensure tests run, artifacts are stored, and Docker images are built and pushed.
Tools: Jenkins, GitHub Actions, GitLab CI, CircleCI, Docker, Artifactory/ECR/DockerHub.
4) Deploy to Kubernetes / servers
Goal: Safely move code to staging and production with zero-downtime strategies.
- Build Docker images and push to registry.
- Apply manifests (kubectl apply -f) or use Helm charts.
- Use ArgoCD or Flux for GitOps-style continuous delivery.
Tools: Docker, kubectl, Helm, ArgoCD, EKS/GKE/AKS.
5) Monitoring, alerts, and incident response
Goal: Detect problems early and restore services quickly.
- Instrument applications & infra with metrics and logs (Prometheus, CloudWatch).
- Define alerts (CPU, error rate, latency) and routing (PagerDuty/Slack).
- Run post-incident reviews and improve runbooks.
Tools: Prometheus, Grafana, ELK, CloudWatch, Datadog, PagerDuty.
- Q: Do DevOps engineers need to code?
- A: Yes — but mostly scripting (Bash, Python) and writing configs (YAML/Terraform). They don't usually write product business logic.
- Q: Will I need to learn Linux?
- A: Absolutely. Linux basics + shell scripting are essential. Practice on Ubuntu or WSL and learn file permissions, services, and package management.
- Q: What language should I learn first?
- A: Start with Bash (shell scripting) and Python. Python is widely used for tooling and automation.
- Q: How do DevOps and SRE differ?
- A: DevOps is a culture and set of practices around automation and collaboration; SRE (Site Reliability Engineering) applies software engineering principles to operations with a stronger focus on reliability metrics and SLAs.
- Q: How do I safely test infrastructure changes?
- A: Use staging environments, run
terraform plan, use feature branches for infra-as-code, and consider policy checks (Sentinel, OPA). - Q: What is GitOps?
- A: GitOps means using Git as the single source of truth — changes to manifests in Git are automatically synced to the cluster by tools like ArgoCD.
A concrete set of tasks you can follow in your first week to be productive and show impact.
- Get access: request Git, CI, cloud console, Slack, and PagerDuty access.
- Run a CI job end-to-end (trigger a build, see logs, find artifact).
- Deploy a tiny test app to dev/staging (Docker → Kubernetes).
- Write a small Terraform file to provision one resource (S3 bucket or EC2) and destroy it.
- Create a simple monitoring dashboard (Grafana) for an app metric.
Copy-paste these while practicing — explained inline below.
Git — clone & open a PR
git clone git@github.com:org/repo.git
git checkout -b feature/your-task
# make changes
git add .
git commit -m "feat: ..."
git push -u origin feature/your-task
Terraform — quick flow
terraform init
terraform plan
terraform apply
terraform destroy
Ansible — run a playbook
ansible-playbook -i inventory.ini site.yml
Kubernetes — deploy & check
kubectl apply -f deployment.yaml
kubectl get pods -n your-namespace
kubectl logs deployment/your-deployment